Image processing apparatus

ABSTRACT

According to one embodiment, an image processing apparatus includes a scanner, a memory, and a processor. The scanner acquires a read image of an original document. The memory stores the read image of the original document that is acquired by the scanner. The processor detects a highlighted region including a region that is highlighted with a chromatic color in the read image of the original document which is stored in the memory and a circled region including a region circled by the chromatic color, and classifies the highlighted region as a region for first processing and classifies the circled region as a region for second processing.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of and priority to Japanese PatentApplication No. 2017-226572, filed Nov. 27, 2017, the entire contents ofwhich are incorporated herein by reference.

FIELD

An embodiment described herein relates generally to an image processingapparatus.

BACKGROUND

A certain image processing apparatus such as a digital multifunctionprinter has a function of detecting a region (marker region) marked by amarker pen on an original document and performing processing such as OCRprocessing in the detected region. A certain digital multifunctionprinter of the related art has a function of classifying a plurality ofmarker regions into a plurality of categories by designating coordinateson an original document of a predetermined format such as a slip of afixed form. However, in order to classify a plurality of marker regionson the original document of which format is not determined into aplurality of categories, it is necessary to designate coordinatesdefining a category for each original document.

In addition, there is a technique for classifying a marker region as auser writes a symbol character in a marker region and an imageprocessing apparatus recognizes the symbol character in the markerregion. However, the technique of the related art requires labor for theuser to write the symbol character to each marker region. In addition,there is a problem that the image processing apparatus may erroneouslyrecognize the symbol character written in the marker region.

DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating a configuration example of animage processing apparatus according to an embodiment.

FIG. 2 is a diagram illustrating an example of an original document tobe scanned by the image processing apparatus according to theembodiment.

FIG. 3 is a flowchart illustrating an operation example of the imageprocessing apparatus according to the embodiment.

FIG. 4 is a flowchart illustrating an operation example of regiondetecting of an image reading apparatus according to the embodiment.

FIG. 5 is a diagram illustrating an example of noise included in a readimage of an original document to be processed by the image processingapparatus according to the embodiment.

FIG. 6 is a diagram illustrating an example of an image in which noiseis removed by the image processing apparatus according to the embodimentthrough noise removing.

FIG. 7 is a diagram illustrating an example of noise included in a readimage of an original document to be processed by the image processingapparatus according to the embodiment.

FIG. 8 is a diagram illustrating an example of an image in which noiseis removed by the image processing apparatus according to the embodimentthrough the noise removing.

FIG. 9 is a diagram illustrating an example of a contour line for achromatic color region extracted by the image processing apparatusaccording to the embodiment.

FIG. 10 is a diagram illustrating an example of a contour line for achromatic color region extracted by the image processing apparatusaccording to an embodiment.

FIG. 11 is a diagram illustrating an example of a highlighted region anda circled region cut out by the image processing apparatus according tothe embodiment as a result of region detecting.

FIG. 12 is a diagram illustrating a first application example in whichclassifying of a marker region performed by the image processingapparatus according to the embodiment is applied.

FIG. 13 is a diagram illustrating a second application example in whichclassifying of a marker region performed by the image processingapparatus according to the embodiment is applied.

DETAILED DESCRIPTION

An object to be achieved by an example embodiment is to provide an imageprocessing apparatus capable of easily classifying a plurality of markedregions on an original document.

In general, according to one embodiment, an image processing apparatusincludes a scanner, a memory, and a processor. The scanner acquires aread image of an original document. The memory stores the read image ofthe original document that is acquired by the scanner. The processordetects a highlighted region including a region that is highlighted witha chromatic color in the read image of the original document which isstored in the memory and a circled region including a region circled bythe chromatic color, and classifies the highlighted region as a regionfor first processing and classifies the circled region as a region forsecond processing.

Hereinafter, embodiments will be described with reference to thedrawings.

An image processing apparatus according to an embodiment includes animage reading apparatus that reads an original document and a processingunit that processes an image read by the image reading apparatus. Forexample, the image processing apparatus according to the presentembodiment is realized by a digital multifunction printer or the likeincluding a scanner or the like as an image reading apparatus. Inaddition, the image processing apparatus according to the presentembodiment may be configured as a system including the scanner as theimage reading apparatus and a computer connected to the scanner.

FIG. 1 is a block diagram illustrating a configuration example of animage processing apparatus 1 according to an embodiment.

As illustrated in FIG. 1, the image processing apparatus 1 includes asystem processing unit 11, a scanner 12, a printer 13, and an operationpanel 14. For example, the image processing apparatus 1 illustrated inFIG. 1 illustrates a configuration example assuming a digitalmultifunction printer.

The scanner 12 scans an original document disposed on an originaldocument table (for example, a transparent glass plate) to acquire animage of the original document. For example, the scanner 12 includes alight emitter and a photoelectric conversion device. The light emitteremits light toward a surface of the original document disposed on theoriginal document table. The photoelectric conversion device includes alight receiving element (such as a CCD image sensor) and the like thatreceive light from the surface of the original document and converts thelight into electronic data. In addition, the scanner 12 may read animage of an original document fed by an automatic document feeder (ADF).

For example, the scanner 12 scans the image of the surface of theoriginal document set on the original document table in response to aninstruction from the system processing unit 11. The scanner 12 generatesimage signals (RGB image data) representing each pixel as R (red), G(green), and B (blue) values, according to the scanned image. Thescanner 12 outputs the generated RGB image data to the system processingunit 11 as a read image of an original document.

The printer 13 is an image forming device that forms an image on a sheetas a recording medium. The printer 13 forms an image on the sheet, basedon the image data for printing supplied from the system processing unit11. In the printer 13, an image forming method is not limited to aspecific method. For example, the printer 13 may be an image formingdevice of an electrophotographic type or may be an image forming deviceof an ink jet type or a thermal transfer type.

The operation panel 14 includes the display portion 14 a and theoperation portion 14 b. For example, the operation panel 14 includes atouch panel including an operation portion 14 b provided with a displayportion 14 a (e.g., a touch sensitive display for receiving userinstructions). In addition, hard keys such as a start key and numerickeys may be provided at the operation portion 14 b. The display portion14 a displays a state of the image processing apparatus 1, a progresssituation of job, and the like.

The system processing unit 11 controls each hardware of the imageprocessing apparatus 1. The system processing unit 11 includes aprocessor 21, a main memory 22, a page memory 23, a hard disk drive(HDD) 24, an external interface (IF) 25, a scanner IF 26, an imageprocessing unit 27, a printer IF 28, and the like. The processor 21 is,for example, a central processing unit (CPU), a micro processing unit(MPU), or the like. The main memory 22 includes various memories such asa RAM and a ROM.

The page memory 23 temporarily stores the image data to be processed.For example, the page memory 23 stores the image data processed by theimage processing unit 27. The processor 21 performs various types ofprocessing which will be described below for the image data stored inthe page memory 23.

The HDD 24 is a rewritable nonvolatile memory. The HDD 24 stores dataand a program. The processor 21 realizes various types of processing byexecuting a program stored in the ROM of the main memory 22 or the HDD24. For example, the processor 21 functions as a control unit or a dataprocessing unit by developing and executing the program in the RAM ofthe main memory 22.

The external IF 25 is an interface for communicating with an externaldevice. For example, the processor 21 may output the image data obtainedby processing which will be described below to the external device viathe external IF 25.

The scanner IF 26 is an interface for connecting the scanner 12. Theprinter IF 28 is an interface for connecting the printer 13.

The image processing unit 27 performs imaging preset for the image data.For example, the image processing unit 27 is realized by an applicationspecific integrated circuit (ASIC). The image processing unit 27 mayinclude an inputting unit that processes an input image and anoutputting unit that processes an image to be output. For example, theinputting unit of the image processing unit 27 performs predeterminedimaging for image data read by the scanner 12 or image data suppliedfrom an external device. In addition, the outputting unit performsimaging for converting the image data into image data for printing to beoutput to the printer 13.

For example, the image processing unit 27 performs predetermined imagingsuch as color conversion and filtering as inputting, for the RGB imagedata (read image of an original document) from the scanner 12. The imageprocessing unit 27 stores the image data subjected to the inputting in amemory of the system processing unit 11. In addition, the imageprocessing unit 27 may perform predetermined image compression for theimage data subjected to the inputting and store the image data in thememory of the system processing unit 11 as an image file of apredetermined format.

Next, classifying of a marker region in the image processing apparatus 1according to the embodiment will be described.

The image processing apparatus 1 has a function of detecting a pluralityof types of marker regions marked in a read image of an originaldocument by a chromatic color marker pen (hereinafter, simply referredto as a marker). In addition, the image processing apparatus 1 has afunction of classifying the marker regions detected from the read imageof an original document and a function of performing various types ofprocessing for each region according to each classification. In thepresent embodiment, a series of processing including detection andclassification of the marker regions for the read image of an originaldocument is described as classifying of the marker regions.

In addition, in the present embodiment, it is assumed that the imageprocessing apparatus 1 detects a highlighted region (first region) and acircled region (second region) as an example of the marker region. Thehighlighted region is detected based on a region highlighted on theoriginal document by a marker. For example, the highlighted region isassumed to be a region marked as a user traces the character string withthe marker so as to designate a specified character string in theoriginal document. In addition, the circled region is detected based ona region encircled by a line represented by the marker on the originaldocument. For example, the circled region is assumed to be a regiondesignated as a user marks a region including a character group, afigure or the like that the user wants to designate on an originaldocument so as to be encircled with the marker.

Furthermore, the image processing apparatus 1 according to the presentembodiment has a function of classifying the detected various markerregions into a plurality of categories or the like. In a processingexample which will be described below, the image processing apparatus 1classifies the highlighted region as a region for first processing andclassifies the circled region as a region for second processing. Thatis, the first processing is performed for the highlighted region, andthe second processing is performed for the circled region. For example,in the first processing and the second processing, processing requiredas one step in a job or a workflow is performed by using either thehighlighted region or the circled region. Each region may be subjectedto OCR processing, and each text extracted by OCR may be taken into aprocessing process previously linked with a highlighted region or thecircled region as processing required for a workflow. In addition, thefirst processing and the second processing may be OCR processingperformed by different algorithms, or may be OCR processing ofrecognizing a character using different dictionaries. In addition, thefirst process and the second process may be processing other than theOCR processing.

Next, an original document to be processed by the image processingapparatus 1 according to the embodiment and a region (marker region)marked by a marker on the original document will be described.

In the present embodiment, it is assumed that a user marks variousregions using a marker on an original document to be processed inprocessing (classifying of a marker region) which will be describedbelow. For example, the user highlights a region (for example, acharacter string) where the first processing is performed on theoriginal document, and marks the region (for example, a region includinga plurality of characters and figures and the like) where the secondprocessing is performed so as to be circled. The marker is a pen thatmarks a color detected as a chromatic color on an original document inprocessing which will be described below. The marker may be a dedicatedpen for preparing in advance, or may be a pen that can detect a color asa chromatic color among pens being generally distributed.

FIG. 2 is a diagram illustrating an example of an original document inwhich a highlighted region and a circled region are designated by amarker.

The original document illustrated in FIG. 2 includes a first mark M1 anda second mark M2 (e.g., marked by a marker of a chromatic color). Themark M1 illustrates an example of a highlighted region marked on theoriginal document. The mark M2 illustrates an example of a region markedby a circle on the original document. In the example illustrated in FIG.2, the mark M1 is formed such that a character string configured byeight characters arranged in one line on the original document ishighlighted. The mark M2 is formed such that a region including acharacter group configured by a plurality of characters in two rows iscircled.

Often, a user performs marking by tracing a character, a characterstring or the like to be designated by using a marker as regiondesignation marked by a different transparent color. Accordingly, it isassumed that all objects to be designated are often not completelyhighlighted. In the specific example illustrated in FIG. 2, the mark M1highlights at least a part of the respective characters in a characterstring configured by eight characters, but does not highlight all thecharacters.

In addition, the user marks a region including a set of characters,figures, and the like to be designated so as to be circled as regiondesignation made by a circle. Accordingly, it is assumed that the set ofcharacters, figures, and the like to be designated are often completelyincluded in a marked enclosure. In the specific example illustrated inFIG. 2, the mark M2 illustrates a region enclosed so as to completelyinclude all characters of 19 characters arranged in two lines.

Next, an operation example of the image processing apparatus 1 accordingto the embodiment will be described.

FIG. 3 is a flowchart schematically illustrating a flow of theclassifying of the marker region in the image processing apparatus 1.

First, a user instructs the classifying of the marker region on theoriginal document by using the operation portion 14 b of the operationpanel 14. Furthermore, the user sets an original document on which eachregion to be classified is marked by a marker, on an original documenttable of the scanner 12, and instructs the operation panel 14 tostarting.

The processor 21 of the image processing apparatus 1 detects that theclassifying of the marker region is designated on the operation panel14. If the classifying of the marker region is designated, the processor21 sets an operation mode to a mode for performing the classifying ofthe marker region (ACT 11). If the classifying of the marker region isset, the processor 21 waits for an instruction to start scanning on theoperation panel 14. If start of scanning is instructed, the processor 21performs processing of reading an original document on the originaldocument table using the scanner 12 (ACT 12).

The scanner 12 scans an image of a surface of an original document seton the original document table in response to an instruction from theprocessor 21, and generates RGB image data as a read image of theoriginal document. The scanner 12 outputs the RGB image data as the readimage of the original document to the image processing unit 27. Theimage processing unit 27 performs inputting such as color conversion andfiltering for the RGB image data from the scanner 12 and stores theimage data in a memory (ACT 13). For example, the image processing unit27 stores the RGB image data as the read image of the original documentsubjected to the inputting in the page memory 23. In addition, the imageprocessing unit 27 may perform data conversion such as compressing forthe RGB image data subjected to the inputting and store the image datain the HDD 24 as an image file of a predetermined format.

After the image data as the read image of the original document isstored in the memory, the processor 21 performs region detecting ofdetecting a marker region for the read image of the original document(ACT 14). The processor 21 detects various marker regions in the readimage of the original document and classifies the detected markerregions, as the region detecting.

For example, the processor 21 detects a mark appearing as a chromaticcolor region in the read image of the original document. The processor21 determines a region (marking method) indicated by the detected mark.The processor 21 classifies the marker regions indicated by each mark,according to the determined marking method and cuts out an image of theclassified marker region.

In the present embodiment, it is assumed that the processor 21 detects ahighlighted region and a circled region as a plurality of types ofmarker regions in the read image of the original document. The processor21 detects the highlighted region and the circled region in the readimage of the original document and cuts out an image of the highlightedregion and an image of the circled region. In the present embodiment,the processor 21 classifies the highlighted region as a region for firstprocessing and classifies the circled region as a region for secondprocessing.

Region detecting of ACT 14 will be described below in detail.

If the respective marker regions in the read image of the originaldocument are classified, the processor 21 executes processing set foreach classification for the classified marker regions (ACT 15). In thepresent embodiment, it is assumed that the processor 21 performs thefirst processing for the image of the highlighted region and performsthe second processing for the image of the circled region.

According to the classifying of the marker region described above, theimage processing apparatus classifies a plurality of marker regions onthe original document, according to a marking state for each region. Inthe present embodiment, the image processing apparatus discriminatesbetween the highlighted region that a user designates so as to behighlighted with a marker and the circled region that the userdesignates so as to be circled with the marker. Thereby, the user canclassify and process each region marked so as to be highlighted orcircled, using one marker without using a plurality of markers.

Next, region detecting of detecting a marker region on the originaldocument will be described.

FIG. 4 is a flowchart illustrating the region detecting performed by theimage processing apparatus 1 according to the embodiment.

The processor 21 of the system processing unit 11 performs regiondetecting of detecting a marker region for a read image of an originaldocument. For example, if the read image of the original document ismade into a file and stored in the HDD 24, the processor 21 restores thefile to RGB image data and develops the image data in the page memory23. Here, it is assumed that the original document on which each regionis marked by a chromatic color marker on a monochrome (black and white)document is provided. In addition, it is assumed that the read image ofthe original document to be processed by the processor 21 is RGB imagedata.

In the region detecting, the processor 21 determines a chromatic colorpixel as color marked by a marker in the read image (RGB image data) ofthe original document (ACT 21). For example, the processor 21 determineswhether or not a value of |R−G| or |G−B| for each pixel is greater thanor equal to a threshold value, thereby determining the chromatic colorof the read image of the original document. In addition, the processor21 may convert a space into a space of L * a * b * and control such thata case of being included in a region of a preset achromatic color regionis determined to be an achromatic color.

If the chromatic color pixel in the read image of the original documentis determined, the processor 21 performs noise removal by removing noisein the read image of the original document (ACT 22). The noise removalis processing of removing (noise removing) noise components due tovariation in reading by the scanner 12, dust adhered to an originaldocument table, an optical system, or the like, and the like. Inaddition, it is assumed that the noise removing also includes processing(mark correction) of correcting blur of a mark, disconnection, and thelike so as to detect a marked part intended by a user (person whomarks).

For example, the processor 21 removes the noise components due tovariation in reading, dust or the like for a pixel determined to have achromatic color and pixels around the pixel, as noise removal. As aspecific example, the processor 21 can remove a small chromatic colorpixel (noise components) by compressing and expanding the read image ofthe original document.

In addition, the processor 21 corrects a portion where the mark isblurred, or a disconnected portion to a chromatic color as markcorrection. That is, the mark correction is processing of converting anachromatic color mixed in a portion (region) where a chromatic colorpixel group to be originally combined is disconnected, or a region of achromatic color pixel group into a chromatic color. As a specificexample, the processor 21 can realize mark correction for converting theblur and the disconnection into a chromatic color by compressing andexpanding the read image of the original document.

FIG. 5 illustrates an example of an image in which the marked region(pixel group determined to be a chromatic color) is disconnected withina small range. In addition, FIG. 6 is a diagram illustrating an exampleof an image subjected to mark correction for the image illustrated inFIG. 5.

The image illustrated in FIG. 5 is corrected to an image illustrated inFIG. 6 by performing expansion and compressing as mark correctingincluded in the noise removing. That is, the portion where the mark isdisconnected is connected by the noise removing and the imageillustrated in FIG. 5 is converted into the image illustrated in FIG. 6.

FIG. 7 illustrates an example of an image in which achromatic pixelscoexist in a marked region (pixel group determined to be a chromaticcolor). In addition, FIG. 8 is a diagram illustrating an example of animage obtained by performing mark correction for the image illustratedin FIG. 7.

For example, the image as illustrated in FIG. 7 appears due to bluroccurring when a user marks an original document with a marker. Theimage illustrated in FIG. 7 is corrected to an image illustrated in FIG.8 by performing expansion and compressing as the mark correctingincluded in the noise removing. That is, the image illustrated in FIG. 7is converted into the image illustrated in FIG. 8 because a white pixelportion caused by blur or the like is converted into a chromatic colorpixel by the noise removing.

After the noise removing is performed, the processor 21 performsdetermining of the white pixel for the image data subjected to the noiseremoving (ACT 23). The determining of the white pixel is processing ofdetermining the white pixel existing in a region surrounded by achromatic color pixel group (chromatic color region). The processor 21extracts a contour (outermost) with respect to a chromatic color regionin the image data subjected to the noise removing. For example, theprocessor 21 extracts the outermost contour line for the chromatic colorpixel group to be connected. If the contour line with respect to thechromatic color region is extracted, the processor 21 calculates a ratioof the white pixels included in the contour for the chromatic colorregion. Here, the ratio of white pixels is a ratio of white pixels inall the pixels included in the contour. For example, the processor 21calculates the ratio of white pixels based on the total number of pixelsand the number of white pixels in the contour.

FIG. 9 is a diagram illustrating a contour line r1 detected for the markM1 designating a region according to a highlight made by a marker or ahighlighter on the original document illustrated in FIG. 2. In the markM1 indicating the highlighted region, the outermost side of the markitself (chromatic color pixel group) is extracted as the contour liner1. The contour line r1 is a contour of a region highlighted by themarker. Accordingly, chromatic color pixels occupy the inside of thecontour line r1 except for pixels such as noise.

FIG. 10 is a diagram illustrating a contour line r2 detected for themark M2 that designates a region according to a box circled by a markerin the original document illustrated in FIG. 2. Since the mark M2 isformed so as to encircle a region to be designated, the outermostcontour is extracted as the contour line r2. That is, the contour liner2 is a contour on an external side of the mark formed so as to encirclea region to be designated, and an internal side of the contour line r2is not highlighted by the marker. Accordingly, many pixels (pixels of abackground color in the original document) of colors different from thechromatic color exist on an internal side of the contour line r2. Forexample, if the background color of the original document is white, manywhite pixels exist inside the contour line r2. Here, the backgroundcolor of the original document is assumed to be white, and the processor21 performs determining of the white pixel for detecting white pixels asa background color of the original document.

If the determining of the white pixel is performed, the processor 21performs determining of a marking method (ACT 24). In the determining ofthe marking method, the type of a marker region designated by the markon the original document is determined. In the present embodiment, theprocessor 21 determines whether a region indicated by each mark detectedfrom the read image of the original document is a highlighted region ora circled region, as the determining of the marking method.

In the determining of the white pixel described above, the processor 21calculates a ratio of the white pixels (pixels of a color different froma chromatic color) existing inside contour lines of each marked region.There are few white pixels inside the contour line of the mark thatdesignates a region with highlight, and there are many white pixelsinside the contour line of the mark that designates a region with acircle. Accordingly, the processor 21 determines whether the regionindicated by the mark is a highlighted region or a circled region,according to the ratio of the white pixels inside the contour line ofthe mark. This determination is selectively performed by using athreshold value as the circled region if the ratio exceeds the thresholdvalue or as the highlighted region if the ratio is less than or equal tothe threshold value.

For example, the processor 21 determines whether or not the ratio of thewhite pixels existing inside the contour line is larger than or equal tothe threshold value. The processor 21 determines that the marking(marking method) of the contour line is the highlighted if the ratio ofthe white pixels existing inside the contour line is less than thethreshold value. In addition, the processor 21 determines that themarking (marking method) of the contour line is a circle if the ratio ofthe white pixels existing inside the contour line is larger than orequal to the threshold value.

If the determining of the marking method ends, the processor 21 performscutting out each marker region, based on the determination result of themarking method (ACT 25). Here, the processor 21 performs the cutting ofthe marker region according to the marking method. That is, theprocessor 21 performs the cutting of the highlighted region for the markdetermined to be highlighted by the marking method. In addition, theprocessor 21 performs the cutting of the circled region for the markdetermined to be a circle by the marking method.

For example, the processor 21 detects a rectangular (circumscribedrectangular) region including a chromatic color pixel group (chromaticcolor region) forming the mark, for the mark determined to behighlighted. The processor 21 specifies a coordinate value representingthe rectangular region, based on the contour line of the markillustrated in FIG. 9. The processor 21 cuts out the rectangular regionaccording to the specified coordinate value and sets the cut rectangularregion as the highlighted region. By cutting out the rectangular regionthat includes the chromatic color region (contour line of mark), aregion also including a character that is not completely highlighted iscut out in the region specified by filling out.

In addition, the processor 21 detects a region (outermost region) basedon the outermost contour of the mark, for the mark determined to be acircle. For example, the processor 21 cuts out a region along thecontour line of the mark as illustrated in FIG. 10, and sets the cutregion as the circled region.

In the above-described example, whether the mark is the highlightedregion or the circled region is determined based on the ratio of thewhite pixels inside the contour line with respect to the chromatic colorregion, but whether the mark is the highlighted region or the circledregion may be determined based on the ratio of chromatic color pixelsinside the contour line. Here, the ratio of chromatic color pixels is aratio of the chromatic color pixels in all the pixels included in thecontour. For example, the processor calculates the ratio of chromaticcolor pixels based on the total number of pixels and the number ofchromatic color pixels in the contour.

If the marking method is determined by the ratio of the chromatic colorpixels in the contour, the processor determines the ratio of chromaticcolor pixels included in the contour for the chromatic color region,instead of the ratio of the white pixels, in ACT 23. If the ratio of thechromatic color pixels is determined, the processor determines that thechromatic color region is a mark indicating the highlighted region whenthe ratio of the chromatic color pixels is larger than or equal to thethreshold value in the ACT 24, and determines that the chromatic colorregion is the mark indicating the circled region when the ratio of thechromatic color pixels is smaller than the threshold value. According tothe processing, the processor can determine the marking method,according to the ratio of the chromatic color pixels inside the contour.

According to the above-described processing, the image processingapparatus detects a marker region from the read image of the originaldocument, and classifies each detected marker region according to themarking method. The image processing apparatus according to the presentembodiment determines whether the mark designates a region by highlightor designates a region by a circle. The image processing apparatusrespectively cuts out the highlighted region and the circled region,based on the determination result of the marking method.

In addition, if it is determined that the mark designates a region byhighlight, the image processing apparatus cuts out an image by settingthe circumscribed rectangular region of the mark as a highlightedregion. Thereby, the image processing apparatus can detect a regionincluding a character or a character string designated by highlight evenif there is a character which is not completely highlighted. As aresult, the image processing apparatus can cut out the image of thehighlighted region according to the intention of the user who marks thecharacter or the character string by highlight.

In addition, if it is determined that the mark designates the circledregion, the image processing apparatus cuts out the image by setting theoutermost contour of a region indicated by the mark as the circledregion. Thereby, the image processing apparatus can appropriately detecta region marked as a circle by a user and can cut out an image of thecircled region according to the intention of the user.

Hereinafter, an application example of the classifying of a markerregion performed by the image processing apparatus 1 according to thepresent embodiment will be described.

As described above, the image processing apparatus 1 according to thepresent embodiment detects regions (marker regions) on an originaldocument designated by a user with highlight and a circle made by amarker, respectively. A highlighted region and a circled region may beset so as to perform different types of processing, or both regions maybe target regions of the OCR processing. For example, even if both thehighlighted region and the circled region are set as target regions forOCR processing, it is possible to classify the processing results foreach region.

That is, the image processing apparatus 1 according to the presentembodiment obtains a unique effect by being able to classify each regionmarked by two methods of highlighting and circling. For example, it ispossible to perform different processing set for each of the highlightedregion and the circled region. In addition, it is also possible toclassify and manage each of the processing result for the highlightedregion and the processing result for the circled region in associationwith each other.

Next, a first application example will be described.

An example in which number information and text information described inone slip, one form, and the like are marked by using highlight and acircle respectively will be described as a first application example.

FIG. 12 illustrates an example of an original document on which a zipcode is with highlight and an address is marked with a circle for a slipand a form in which the zip code and the address are written. In theexample illustrated in FIG. 12, two marks M11 and M12 and marker regionsR11 and R12 corresponding to the marks are illustrated.

The mark M11 is an example in which a zip code is designated byhighlight on the original document by using a marker. The marker regionR11 indicates a region cut out as a highlighted region, based on themark M11 determined to be highlighted. That is, the marker region R11 isa rectangular (circumscribed rectangle) region including a contour ofthe mark M11.

The mark M12 is an example in which a region where an address isdescribed is designated by a circle on an original document, using themarker. The marker region R12 is a region cut out as a circled region,based on the mark M12 determined to be a circle. That is, the markerregion R12 is a region formed by a contour (outermost) on the outermostside of the mark M12.

As illustrated in FIG. 12, by classifying a zip code and an addressmarked by different methods, it is possible to perform processingsuitable for each piece of information. In the example illustrated inFIG. 12, it is possible to perform OCR processing suitable forrecognizing a zip code in the highlighted region and to perform OCRprocessing suitable for recognizing an address in the circled region. Inaddition, the recognition result of the zip code in the highlightedregion and the recognition result of the address in the circled regioncan be incorporated into a database and a workflow in a state where eachis linked.

Next, a second application example will be described.

An example in which a mark made by a circle is further added to anoriginal document marked with highlight and a circle will be describedas a second application example.

FIG. 13 illustrates an example in which attendees are marked withhighlight and main parts (necessary parts) of proceedings are markedwith circles with respect to an original document (minutes) in whichattendees and proceedings are described. In the example illustrated inFIG. 13, four marks M21, M22, M23, and M24 and marker regions R21, R22,R23, and R24 corresponding to the marks are illustrated.

The respective marks M21 and M22 are examples in which attendees aredesignated and highlighted by using a marker. The marker regions R21 andR22 indicate regions cut out as highlighted regions based on the marksM21 and M22 determined to be highlighted. That is, the marker regionsR21 and R22 are rectangular (circumscribed rectangle) regions includingcontours of the marks M21 and M22.

The mark M23 is an example in which a part of the proceedings on theoriginal document is circled and designated by using a marker. Inaddition, the mark M24 is an example in which a part of the proceedingdifferent from the mark M23 is circled and designated by using a marker.For example, since the mark M23 is written and thereafter another partis designated, the mark M24 is additionally written.

In the example illustrated in FIG. 13, the marks M23 and M24 are writtenin a connected state. Accordingly, the marker region R23 is detected asa component in which the marks M23 and M24 are connected to each otherby a chromatic color. The component in which the marks M23 and M24 areconnected to each other is determined to be a circle because there aremany white pixels inside a contour line. Accordingly, the marker regionR23 is cut out as a circled region, based on the marks M23 and M24determined to be a circle. That is, the marker region R23 becomes aregion formed by the outermost contour (outermost) of a region where themarks M23 and M24 to be connected are formed.

The image processing apparatus according to the embodiment can performprocessing for a circled region cut out as the outermost of theconnected chromatic color region separately from highlight. Accordingly,as in the second application example described above, the imageprocessing apparatus 1 can cut out a region added and designated by amark of a circle together with a region previously designated by acircle. As a result, the image processing apparatus 1 according to theembodiment can perform processing by including information such as notesadded to the original document.

The image processing apparatus according to the embodiment selectivelydetermines whether a mark is the circled region or the highlightedregion according to whether or not the ratio of the white pixelsoccupying all the pixels in a region cut out as the outermost contourexceeds the threshold value, even if there are a plurality ofhighlighted regions or circled regions in the same page. Accordingly,the image processing apparatus according to the present embodiment canreliably determine which region the mark is, even if the circled regionand the highlighted region coexist in one page. In addition, the presentembodiment also has a merit that it is easy to visually distinguishbetween the highlighted region of a character and the circled region ofa character. It is preferable that the highlighted region and thecircled region exist in the same page such that one does not include theother.

While certain embodiments have been described, these embodiments havebeen presented by way of example only, and are not intended to limit thescope of the inventions. Indeed, the novel embodiments described hereinmay be embodied in a variety of other forms; furthermore, variousomissions, substitutions and changes in the form of the embodimentsdescribed herein may be made without departing from the spirit of theinventions. The accompanying claims and their equivalents are intendedto cover such forms or modifications as would fall within the scope andspirit of the inventions.

What is claimed is:
 1. An image processing apparatus comprising: ascanner configured to acquire a read image of an original document; amemory configured to store the read image of the original document thatis acquired by the scanner; and a processor configured to detect ahighlighted region including a region that is highlighted with achromatic color in the read image of the original document which isstored in the memory and a circled region including a region circled bythe chromatic color, and configured to classify the highlighted regionas a region for first processing and classify the circled region as aregion for second processing.
 2. The apparatus according to claim 1,wherein the processor cuts out a rectangular region including the regionthat is highlighted with the chromatic color as a highlighted region. 3.The apparatus according to claim 2, wherein the processor cuts out acontour of a chromatic color region that is formed so as to circle apartial region on the original document as a circled region.
 4. Theapparatus according to claim 3, wherein the processor performs the firstprocessing for the region that is cut out as the highlighted region andperforms the second processing for the region that is cut out as thecircled region.
 5. The apparatus according to claim 1, wherein theprocessor extracts a contour line of the chromatic color region in theread image of the original document, determines that the chromatic colorregion is a mark indicating the highlighted region if a ratio of whitepixels in the contour line is less than a threshold value, anddetermines that the chromatic color region is a mark indicating thecircled region if the ratio of the white pixels in the contour line isgreater than or equal to the threshold value.
 6. The apparatus accordingto claim 1, wherein the processor extracts a contour line of thechromatic color region in a read image of the original document,determines that the chromatic color region is a mark indicating thehighlighted region if a ratio of chromatic color pixels in the contourline is greater than or equal to a threshold value, and determines thatthe chromatic color region is a mark indicating the circled region ifthe ratio of the chromatic color pixels in the contour line is less thanthe threshold value.
 7. A method for differentiating marked-upinformation in an image, the method comprising: receiving an input froma user; acquiring, in an optical acquisition device, an image;communicating the acquired image to a data processor; identifying, inthe data processor, one or more marked-up regions distinct from otherportions of the acquired image; differentiating the one or moremarked-up regions in response to the input by the user; and outputting amodified image based on the image and the differentiated one or moremarked-up regions.
 8. The method of claim 7, further comprising savingthe acquired image into a memory device.
 9. The method of claim 7,wherein the one or more marked-up regions include a region highlightedwith a chromatic color contrasting against other portions of the image.10. The method of claim 7, wherein the one or more marked-up regionsinclude a region surrounded by a chromatic color contrasting againstother portions of the image.
 11. The method of claim 7, wherein the oneor more marked-up regions include one or more regions highlighted with achromatic color or surrounded by a contour line of the chromatic colorcontrasting against other portions of the image or both.
 12. The methodof claim 11, wherein identifying the one or more marked-up regionsincludes first processing one or more regions highlighted with achromatic color and then processing one or more regions surrounded by acontour line of the chromatic color.
 13. The method of claim 11, whereinidentifying the one or more marked-up regions comprises: extracting acontour line of a chromatic color region in the image, identifying theone or more regions highlighted with the chromatic color when, in theone or more highlighted regions, a chromatic color pixels to whitepixels ratio in the contour line is greater than or equal to a thresholdvalue; and identifying the one or more regions surrounded by the contourline when, in the chromatic color region, a white pixels to chromaticcolor pixels ratio bounded within the contour line is greater than orequal to the threshold value.
 14. The method of claim 7, whereindifferentiating the one or more marked-up regions in response to theinput by the user comprises removing or emphasizing the one or moremarked-up regions.
 15. The method of claim 7, wherein identifying theone or more marked-up regions comprises: extracting a contour line of achromatic color region in the image; determining that the chromaticcolor region is a mark indicating a highlighted region if a ratio ofchromatic color pixels in the contour line is larger than or equal to athreshold value; and determining that the chromatic color region is amark indicating the circled region if the ratio of the chromatic colorpixels in the contour line is less than the threshold value.
 16. Animage processing apparatus comprising: a control unit receiving an inputfrom a user; an image acquisition unit operable to acquire an imageaccording to the input; a memory unit operable to store the image; and aprocessor operable to process the stored image according to the input,wherein the operation comprises determining a chromatic color andidentifying a marker region of the chromatic color.
 17. The imageprocessing apparatus of claim 16, wherein the operation performed by theprocessor further comprises removing noises of the image, determiningwhite pixels of the image, and determining a marking method associatedwith the chromatic color.
 18. The image processing apparatus of claim17, wherein the marking method associated with the chromatic colorassociates with at least one parameter set in the input received fromthe user.
 19. The image processing apparatus of claim 17, wherein theoperation further includes, subsequent to identifying the marker region,cutting the marker region from the image and storing an edited imageinto the memory unit.
 20. The image processing apparatus of claim 16,wherein the operation by the processor further comprises identifying ahighlighted region indicated by an area covered by the chromatic color,or a circled region indicated by an area surrounded by a contour line ofthe chromatic color, or both.